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Title: Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data
Authors: Sužiedelytė Visockienė, Jūratė
Tumelienė, Eglė
Malienė, Vida
Keywords: H. sosnowskyi
image processing
remote sensing
Issue Date: 2020
Publisher: MDPI
Citation: Sužiedelytė Visockienė, J.; Tumelienė, E.; Maliene, V. Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data. Sustainability 2020, 12, 759.
Series/Report no.: 12;3
Abstract: H. sosnowskyi (Heracleum sosnowskyi) is a plant that is widespread both in Lithuania and other countries and causes abundant problems. The damage caused by the population of the plant is many-sided: it menaces the biodiversity of the land, poses risk to human health, and causes considerable economic losses. In order to find effective and complex measures against this invasive plant, it is very important to identify places and areas where H. sosnowskyi grows, carry out a detailed analysis, and monitor its spread to avoid leaving this process to chance. In this paper, the remote sensing methodology was proposed to identify territories covered with H. sosnowskyi plants (land classification). Two categories of land cover classification were used: supervised (human-guided) and unsupervised (calculated by software). In the application of the supervised method, the average wavelength of the spectrum of H. sosnowskyi was calculated for the classification of the RGB image and according to this, the unsupervised classification by the program was accomplished. The combination of both classification methods, performed in steps, allowed obtaining better results than using one. The application of authors’ proposed methodology was demonstrated in a Lithuanian case study discussed in this paper.
Description: This article belongs to the Special Issue Land and Water Degradation in Catchments: The Role of Remote Sensing for Assessment and Management
ISSN: 2071-1050
Appears in Collections:Moksliniai straipsniai / Research articles

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